Intelligence-Based Healthcare

Nyhet

An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider

Häftad, Engelska, 2026

Av Anthony Chang, Alfonso Limon, Gregg M. Gascon, Gregg M Gascon

1 909 kr

Kommande

Intelligence-Based Healthcare: An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider serves as an indispensable resource for anyone seeking to understand and apply artificial intelligence (AI) within the healthcare sector. The book opens with a concise introduction to data science and AI concepts, providing a foundation for readers to quickly grasp the core principles involved. By blending practical examples and theoretical frameworks, it guides healthcare leaders and providers through the complexities of adopting AI-driven solutions. This guide is designed to orient readers rapidly, preparing them to engage with AI’s transformational potential in clinical and operational settings.

In addition to its comprehensive overview, the book presents a clear framework for successfully planning, deploying, implementing, and evaluating AI models in healthcare environments. Each of its 25 chapters can be read independently, making it a versatile tool for self-paced learning. The use of real-world case studies-both successful and unsuccessful-offers valuable insights and important lessons learned from practical applications. This approach not only demystifies AI but also illustrates its real impact on solving clinical and operational challenges.

Provides access to research of frontline leaders of close to 100 centers of AI in medicine from around the world
Couples concepts of artificial intelligence and applications of these AI tools in clinical medicine and healthcare in a way that is not overly technical
Presents case studies in a systematic manner for all stakeholders to understand in-depth thinking, a first-of-its-kind book

Produktinformation

Utgivningsdatum2026-06-01
Mått191 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieIntelligence-Based Medicine: Subspecialty Series
Antal sidor350
FörlagElsevier Science
ISBN9780443339332

Tillhör följande kategorier

Biologi inom Naturvetenskap och teknik

Anthony Chang, MD, is a Professor, Department of Pathology, University of Chicago with a specialty in renal pathology. His research interests include the role of B and plasma cells in lupus nephritis and transplant rejection. He is past president of the Renal Pathology Society (2017) and Chicago Pathology Society (2011-2013). He has taught more than 30 educational courses at the annual meetings for the American Society Clinical Pathology, College of American Pathologists, US & Canadian Academy of Pathology, American Society of Nephrology, American College of Rheumatology, and American Urological Association.Alfonso Limon, Ph.D., is a principal at Oneirix, a consulting company developing market-leading technologies in computational intelligence for med-tech. Before joining Oneirix, Dr. Limon served as Director of Research at Intersection Medical, leading the development of algorithms for decision support systems to manage congestive heart failure. Before his work in industry, Dr. Limon was a Visiting Professor of Mathematics at Pomona College and a post-doctoral fellow at Harvey Mudd College in the math department and holds several impedance spectroscopy patents. Alfonso is part of the American Board of Artificial Intelligence in Medicine, an Associate Editor of Intelligence-Based Medicine, and the Computational Science Research Center Board Chair at SDSU.

1. Introduction2. Brief History of Artificial Intelligence3. Reflection and Update on AI in Medicine and Healthcare4. Topics5. Definitions6. Machine Learning Supervised, Unsupervised, Semi- and Self-Supervised7. Deep Learning Neural Nets and Transformers8. Reinforcement Learning9. Generative Artificial Intelligence10. Natural Language Processing11. Cognitive Computing12. Robotic Process Automation13. Regulation, Ethics, Adoption, and Legal (REAL) Issues14. Implementation Science15. Miscellaneous Topics16. Why Adoption of AI in Healthcare Has Been Challenging17. Framework for Successful Adoption of AI in Healthcare18. How to Pursue a Basic to Advanced Education on Artificial Intelligence19. How to Build Data, IT, and AI Infrastructure20. How to Start a Center of Artificial Intelligence21. Future of Artificial Intelligence and Health22. Compendium23. Glossary24. Top 100 Articles of AI in Healthcare25. Book Recommendations